Single Cell Rna Seq Data Jobs

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Senior Data Scientist Immunotherapy Platform

MD Anderson Houston, TX

Houston, TX

Today

$123k - $185k/yr Full time Senior Bioinformatics Cancer Research

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Job Description

Work at UT MD Anderson on the Immunotherapy Platform (IMT), helping translate computational findings into insights on tumor-immune interactions and therapeutic response. This hybrid Senior Data Scientist role supports complex, multi-modal cancer analyses from analytical design through biological interpretation and publication. Salaries range from USD 123,000 to 185,000 per year, with an expected midpoint of USD 154,000.

What you’ll do

Analyze high-dimensional biomedical datasets including single-cell RNA-seq, spatial transcriptomics (CosMx, Visium, CODEX), bulk RNA-seq, and clinical datasets
Characterize the tumor microenvironment, immune cell states, and cell-cell interactions
Integrate multi-modal data across genomic, spatial, proteomic, and clinical sources to support IMT research priorities
Design and execute end-to-end computational analyses aligned with translational research goals
Develop reproducible and scalable analytical workflows and reusable pipelines (for example, via GitHub)
Use strong programming skills in Python and/or R for data processing, analysis, and workflow implementation
Apply public cancer resources such as TCGA and GEO where appropriate
Propose independent analytical strategies and hypotheses, and collaborate with experimental and clinical teams to refine biological questions
Contribute biologically meaningful insights from complex datasets, including support for manuscripts with expectation of first or co-first authorship
Support grant development through computational analysis and data interpretation
Stay current with emerging computational biology methods and apply them to IMT datasets

Required qualifications

Bachelor’s Degree in a related field (Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related)
5 years of experience in scientific software or industry programming with a focus on scientific computing
Experience expectations also include: 3 years with a master’s degree, or 1 year with a PhD

Preferred experience

Genomic experience
Developing AI models
Ability to independently lead projects
Experience with single-cell RNA-seq and/or spatial transcriptomics
Experience in an academic or healthcare environment

Tools and methods

Python, R, GitHub
TCGA, GEO
single-cell RNA-seq, spatial transcriptomics (CosMx, Visium, CODEX), bulk RNA-seq

Compensation and employment details

Location: Houston, TX (Hybrid Onsite/Remote)
Employment status: Full-Time, Regular
Work week: Days
FLSA: Exempt, not eligible for overtime pay
Requisition ID: 183517
Pivotal position: Yes

Benefits

Employer-paid medical coverage starting day one for employees working 30+ hours/week, plus optional group dental, vision, life, AD&D, and disability insurance
PTO accruals, Extended Illness Bank, and paid holidays, wellness, childcare, and other leave options
Tuition Assistance Program after six months of service and access to extensive wellness, fitness, and employee resource groups
Defined-benefit pension through the Teachers Retirement System, plus voluntary retirement plans and employer-paid life and reduced salary protection programs
Relocation assistance available
Referral bonus available

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